Cyclic Motion Detection For Motion Based Recognition

    Authors

    P. S. Tsai; M. Shah; K. Keiter;T. Kasparis

    Comments

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    Abbreviated Journal Title

    Pattern Recognit.

    Keywords

    CYCLIC MOTION; SPATIOTEMPORAL CURVATURE; MOTION-BASED RECOGNITION; Computer Science, Artificial Intelligence; Engineering, Electrical &; Electronic

    Abstract

    The motion of a walking person is analyzed by examining cycles in the movement. Cycles are detected using autocorrelation and Fourier transform techniques of the smoothed spatio-temporal curvature function of trajectories created by specific points on the object as it performs cyclic motion. A large impulse in the Fourier magnitude plot indicates the frequency at which cycles are occurring. Both synthetically generated and real walking sequences are analyzed for cyclic motion. The real sequences are then used in a motion based recognition application in which one complete cycle is stored as a model, and a matching process is performed using one cycle of an input trajectory.

    Journal Title

    Pattern Recognition

    Volume

    27

    Issue/Number

    12

    Publication Date

    1-1-1995

    Document Type

    Article

    Language

    English

    First Page

    1591

    Last Page

    1603

    WOS Identifier

    WOS:A1994QB93700002

    ISSN

    0031-3203

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